eDoctor: machine learning and the future of medicine
Version 2 2024-06-06, 06:58Version 2 2024-06-06, 06:58
Version 1 2018-09-10, 14:14Version 1 2018-09-10, 14:14
journal contribution
posted on 2024-06-06, 06:58authored byGS Handelman, HK Kok, RV Chandra, AH Razavi, MJ Lee, Hamed AsadiHamed Asadi
Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse computer science and statistics to medical problems. Proponents of ML extol its ability to deal with large, complex and disparate data, often found within medicine and feel that ML is the future for biomedical research, personalized medicine, computer-aided diagnosis to significantly advance global health care. However, the concepts of ML are unfamiliar to many medical professionals and there is untapped potential in the use of ML as a research tool. In this article, we provide an overview of the theory behind ML, explore the common ML algorithms used in medicine including their pitfalls and discuss the potential future of ML in medicine.
History
Journal
Journal of internal medicine
Volume
284
Pagination
603-619
Location
Chichester, Eng.
eISSN
1365-2796
Language
eng
Publication classification
C1 Refereed article in a scholarly journal
Copyright notice
2018, The Association for the Publication of the Journal of Internal Medicine